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痴呆症的物理模型。

A physical model for dementia.

作者信息

Sotolongo-Costa O, Gaggero-Sager L M, Becker J T, Maestu F, Sotolongo-Grau O

机构信息

CInC-(IICBA), Universidad Autónoma del Estado de Morelos, 62209 Cuernavaca, Morelos, Mexico.

CIICAP-(IICBA), Universidad Autónoma del Estado de Morelos, 62209 Cuernavaca, Morelos, Mexico.

出版信息

Physica A. 2017 Apr 15;472:86-93. doi: 10.1016/j.physa.2016.12.086. Epub 2017 Jan 4.

DOI:10.1016/j.physa.2016.12.086
PMID:28827893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5562389/
Abstract

Aging associated brain decline often result in some kind of dementia. Even when this is a complex brain disorder a physical model can be used in order to describe its general behavior. A probabilistic model for the development of dementia is obtained and fitted to some experimental data obtained from the Alzheimer's Disease Neuroimaging Initiative. It is explained how dementia appears as a consequence of aging and why it is irreversible.

摘要

与衰老相关的大脑衰退常常会导致某种痴呆症。即便这是一种复杂的脑部疾病,也可以使用物理模型来描述其一般行为。我们获得了一个痴呆症发展的概率模型,并将其与从阿尔茨海默病神经影像倡议组织获得的一些实验数据进行拟合。文中解释了痴呆症是如何作为衰老的结果出现的,以及它为何不可逆转。

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本文引用的文献

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Multiple pathologies are common and related to dementia in the oldest-old: The 90+ Study.多种病理状况在高龄老人中很常见且与痴呆症相关:90岁以上老人研究。
Neurology. 2015 Aug 11;85(6):535-42. doi: 10.1212/WNL.0000000000001831. Epub 2015 Jul 15.
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Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease.疾病进展的网络扩散模型预测阿尔茨海默病的萎缩和代谢纵向模式。
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Neuroimaging indicators of the performance of instrumental activities of daily living in Alzheimer's disease combined with cerebrovascular disease.阿尔茨海默病合并脑血管病患者日常生活活动能力的神经影像学指标
Geriatr Gerontol Int. 2015 May;15(5):588-93. doi: 10.1111/ggi.12323. Epub 2014 Aug 11.
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Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI.基于静息态 fMRI 的功能连接枢纽的动态网络参与度评估。
Front Hum Neurosci. 2014 May 6;8:195. doi: 10.3389/fnhum.2014.00195. eCollection 2014.
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Cusp catastrophe model: a nonlinear model for health outcomes in nursing research.尖点突变模型:护理研究中健康结果的非线性模型。
Nurs Res. 2014 May-Jun;63(3):211-20. doi: 10.1097/NNR.0000000000000034.
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Significance of normalization on anatomical MRI measures in predicting Alzheimer's disease.标准化在解剖学磁共振成像测量中对预测阿尔茨海默病的意义。
ScientificWorldJournal. 2014 Jan 6;2014:541802. doi: 10.1155/2014/541802. eCollection 2014.
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Universality in network dynamics.网络动力学中的普遍性。
Nat Phys. 2013;9:673-81. doi: 10.1038/nphys2741.
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The evolution of distributed association networks in the human brain.人类大脑中分布式关联网络的演化。
Trends Cogn Sci. 2013 Dec;17(12):648-65. doi: 10.1016/j.tics.2013.09.017. Epub 2013 Nov 7.
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Alzheimer's disease: analysis of a mathematical model incorporating the role of prions.阿尔茨海默病:一个纳入朊病毒作用的数学模型分析
J Math Biol. 2014 Nov;69(5):1207-35. doi: 10.1007/s00285-013-0732-0. Epub 2013 Oct 22.
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Intention to use condom, cusp modeling, and evaluation of an HIV prevention intervention trial.使用避孕套的意愿、尖点建模以及一项艾滋病预防干预试验的评估
Nonlinear Dynamics Psychol Life Sci. 2013 Jul;17(3):385-403.